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The Impact of High-Tech Industry Agglomeration on Green Economy Efficiency—Evidence from the Yangtze River Economic Belt

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  • Weiliang Chen

    (School of Management, Nanchang University, Nanchang 330031, China
    Department of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA)

  • Xinjian Huang

    (School of Management, Nanchang University, Nanchang 330031, China
    School of Economics and Management, Nanchang University, Nanchang 330031, China)

  • Yanhong Liu

    (School of Management, Nanchang University, Nanchang 330031, China
    Department of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA)

  • Xin Luan

    (Department of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA
    School of Transportation, Southeast University, Nanjing 211189, China)

  • Yan Song

    (Department of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA)

Abstract

Development is the eternal theme of the times. However, the transformation of the development mode is imminent, and we should abandon the extensive economic development mode and turn to the efficient development of an intensive mode. The high-tech industry will be the decisive force in future industrial development. The agglomeration of the industry will help form economies of scale, thereby improving the effective allocation of resources and promoting productivity. The increase in green economy efficiency is a key factor in achieving green development and an important indicator of achieving the coordinated development of economic development and environmental protection. Therefore, in this study, we try to improve the efficiency of the green economy through industrial agglomeration to achieve green development. In order to solve this problem, we took the Yangtze River Economic Belt as the research object, used Super Slacks-based Measure (SBM) data envelopment analysis (DEA) and general algebraic modeling system (GAMS) to study the green economy efficiency, and then used the system generalized moment method (SGMM) to study the impact of high-tech industry agglomeration on green economy efficiency. According to the empirical test, we found that (1) the green economy efficiency of the Yangtze River Economic Belt shows a volatile upward trend, (2) the green economy efficiency of the Yangtze River Economic Belt differs with time and by region, (3) the agglomeration of the high-tech industry has a lagging effect on the improvement of green economy efficiency, and (4) the regression coefficients of economic development and foreign direct investment are positive and those of environmental regulation and urbanization are negative. Finally, in this paper, we provide corresponding policy recommendations to promote the agglomeration of high-tech industries, thereby improving the efficiency of the green economy.

Suggested Citation

  • Weiliang Chen & Xinjian Huang & Yanhong Liu & Xin Luan & Yan Song, 2019. "The Impact of High-Tech Industry Agglomeration on Green Economy Efficiency—Evidence from the Yangtze River Economic Belt," Sustainability, MDPI, vol. 11(19), pages 1-18, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5189-:d:269570
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    13. Wei, Wei & Zhang, Wan-Li & Wen, Jun & Wang, Jun-Sheng, 2020. "TFP growth in Chinese cities: The role of factor-intensity and industrial agglomeration," Economic Modelling, Elsevier, vol. 91(C), pages 534-549.
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    15. Ying Song & Lu Yang & Stavros Sindakis & Sakshi Aggarwal & Charles Chen, 2023. "Analyzing the Role of High-Tech Industrial Agglomeration in Green Transformation and Upgrading of Manufacturing Industry: the Case of China," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(4), pages 3847-3877, December.
    16. Lu Zhang & Renyan Mu & Shuhua Hu & Quan Zhang & Song Wang, 2021. "Impacts of Manufacturing Specialized and Diversified Agglomeration on the Eco-Innovation Efficiency—A Nonlinear Test from Dynamic Perspective," Sustainability, MDPI, vol. 13(7), pages 1-27, March.
    17. Ran Feng & Xiaoe Qu, 2023. "Innovation-Driven Industrial Agglomeration Impact on Green Economic Growth in the Yellow River Basin: An Empirical Analysis," Sustainability, MDPI, vol. 15(17), pages 1-24, September.

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